Explore the reasons behind Python's slower execution compared to other languages in this 33-minute PyCon US talk by Anthony Shaw. Delve into various theories explaining Python's performance, identify tasks where it excels, and discover techniques to optimize its speed. Gain insights into upcoming Python versions and potential improvements that may address performance issues. Learn about stack frames, C compilers, JIT compilers and optimizations, intermediate representations, garbage collection, and CPU-intensive tasks to better understand Python's execution model and performance characteristics.
Overview
Syllabus
Intro
What is Python
C vs Python
Stack frames
C compiler
JIT compiler
JIT optimizations
JIT compilers
Intermediate representations
C Python
Other tasks
Stop everything garbage collector
Chromium Engine
CPU intensive tasks
Summary
Taught by
PyCon US
